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Case Study: Train the model on some custom dataset with manual resolution adjustments, and then test the trained model on a new but similar image

Ref High Resolution Dataset SRCNN Predictions from Low Resolution (0.5 x)
GIF 1
Used in Training
GIF 2
Prediction
GIF 3
Not used in Training
GIF 4
Prediction

Case Study: Using a pretrained model Nina_SR model (trained on Div2K dataset on 300 epochs), and testing on new images

Ref High Resolution Dataset Nina_SR Predictions from Low Resolution (0.5 x)
GIF 1
Not used in Training
GIF 2
Prediction
GIF 3
Not used in Training
GIF 4
Prediction

Case Study: Improving Resolution Improves 3D rendering result (COLMAP Dense Reconstruction Example)

Low Resolution Dataset

lowres_video.mp4

High Resolution Dataset (x2)

highres_pred_video.mp4

Reference

https://github.com/isaaccorley/pytorch-enhance

https://github.com/Coloquinte/torchSR

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